Clustering Categorical Data for Internet Security Applications

Clustering categorization data for internet security application developed a system for malware categorization, phishing website detection and secure E-mails using keywords. These are now a day has great interest. Phishing website detection has been new internet crime than malware categorization. Over the past few years, many clustering techniques have been employed for automatic malware and phishing website detection. In these techniques, the detection process is generally divided into two steps: 1) Feature extraction, where representative features are extracted to capture the characteristics of the file samples or the websites. 2) Categorization, where intelligent techniques are used to automatically group the file samples or websites into different classes based on computational analysis of the feature representations. In this approach can detect malware categorization, phishing website detection as well as detect spam mails in one system.